{"id":"https://openalex.org/W2775878099","doi":"https://doi.org/10.18653/v1/w17-5520","title":"Interaction Quality Estimation Using Long Short-Term Memories","display_name":"Interaction Quality Estimation Using Long Short-Term Memories","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2775878099","doi":"https://doi.org/10.18653/v1/w17-5520","mag":"2775878099"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-5520","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5520","pdf_url":"https://www.aclweb.org/anthology/W17-5520.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-5520.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035750492","display_name":"Niklas Rach","orcid":"https://orcid.org/0000-0001-9737-8584"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niklas Rach","raw_affiliation_strings":["Institute of Communication Engineering, Ulm University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication Engineering, Ulm University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110317553","display_name":"Wolfgang Minker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wolfgang Minker","raw_affiliation_strings":["Institute of Communication Engineering, Ulm University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication Engineering, Ulm University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058838995","display_name":"Stefan Ultes","orcid":"https://orcid.org/0000-0003-2667-3126"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stefan Ultes","raw_affiliation_strings":["Department of Engineering, University of Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Cambridge, UK","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8305,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78937225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"164","last_page":"169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8415025472640991},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7143114805221558},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.6656018495559692},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5846998691558838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.584650993347168},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5339791774749756},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5063189268112183},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43875420093536377},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43667155504226685},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43141552805900574},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4099661707878113},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3934788107872009},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37762922048568726},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.27471911907196045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8415025472640991},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7143114805221558},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.6656018495559692},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5846998691558838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.584650993347168},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5339791774749756},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5063189268112183},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43875420093536377},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43667155504226685},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43141552805900574},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4099661707878113},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3934788107872009},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37762922048568726},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27471911907196045},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/w17-5520","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5520","pdf_url":"https://www.aclweb.org/anthology/W17-5520.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue","raw_type":"proceedings-article"},{"id":"pmh:oai:repositori.upf.edu:10230/33525","is_oa":true,"landing_page_url":"http://hdl.handle.net/10230/33525","pdf_url":null,"source":{"id":"https://openalex.org/S4306402615","display_name":"Repositori digital de la UPF (Universitat Pompeu Fabra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170486558","host_organization_name":"Universitat Pompeu Fabra","host_organization_lineage":["https://openalex.org/I170486558"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-5520","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5520","pdf_url":"https://www.aclweb.org/anthology/W17-5520.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2775878099.pdf","grobid_xml":"https://content.openalex.org/works/W2775878099.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W69918181","https://openalex.org/W194823000","https://openalex.org/W291351333","https://openalex.org/W969718702","https://openalex.org/W1508665521","https://openalex.org/W1565373308","https://openalex.org/W1591801644","https://openalex.org/W1762781512","https://openalex.org/W1975016129","https://openalex.org/W2004224263","https://openalex.org/W2037789405","https://openalex.org/W2064675550","https://openalex.org/W2078483536","https://openalex.org/W2107878631","https://openalex.org/W2114707621","https://openalex.org/W2146502635","https://openalex.org/W2174767898","https://openalex.org/W2250390455","https://openalex.org/W2251175910","https://openalex.org/W2252233777","https://openalex.org/W2271840356","https://openalex.org/W2275184789","https://openalex.org/W2337241406","https://openalex.org/W2340811439","https://openalex.org/W2482569113","https://openalex.org/W2491732512","https://openalex.org/W2491997385","https://openalex.org/W2563928368","https://openalex.org/W2788204336","https://openalex.org/W2792382948","https://openalex.org/W2887549442","https://openalex.org/W2963010524","https://openalex.org/W3099293669","https://openalex.org/W4391285994"],"related_works":["https://openalex.org/W3008584592","https://openalex.org/W2912153778","https://openalex.org/W4387163678","https://openalex.org/W4288108708","https://openalex.org/W2973430807","https://openalex.org/W4385280324","https://openalex.org/W2890685186","https://openalex.org/W2984436043","https://openalex.org/W4390245176","https://openalex.org/W2912831041"],"abstract_inverted_index":{"For":[0],"estimating":[1,57],"the":[2,11,25,32,54],"Interaction":[3],"Quality":[4],"(IQ)":[5],"in":[6,24,77],"Spoken":[7],"Dialogue":[8],"Systems":[9],"(SDS),":[10],"dialogue":[12],"history":[13],"is":[14,69],"of":[15,27],"significant":[16],"importance.":[17],"Previous":[18],"works":[19],"included":[20],"this":[21,50],"information":[22,51],"manually":[23,81],"form":[26],"precomputed":[28],"temporal":[29,83],"features":[30,84],"into":[31],"classification":[33],"process.":[34],"Here,":[35],"we":[36],"employ":[37],"a":[38,78],"deep":[39],"learning":[40],"architecture":[41],"based":[42],"on":[43],"Long":[44],"Short-Term":[45],"Memories":[46],"(LSTM)":[47],"to":[48,72],"extract":[49],"automatically":[52],"from":[53],"data,":[55],"thus":[56],"IQ":[58],"solely":[59],"by":[60],"using":[61],"current":[62],"exchange":[63],"features.":[64],"We":[65],"show":[66],"that":[67],"it":[68],"thereby":[70],"possible":[71],"achieve":[73],"competitive":[74],"results":[75],"as":[76],"scenario":[79],"where":[80],"optimized":[82],"have":[85],"been":[86],"included.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
